@article {69838, title = {Fourier-Based 3D Multistage Transformer for Aberration Correction in Multicellular Specimens}, journal = {Research Square}, year = {2025}, month = {2025 Apr 02}, abstract = {

High-resolution tissue imaging is often compromised by sample-induced optical aberrations that degrade resolution and contrast. While wavefront sensor-based adaptive optics (AO) can measure these aberrations, such hardware solutions are typically complex, expensive to implement, and slow when serially mapping spatially varying aberrations across large fields of view. Here, we introduce AOViFT (Adaptive Optical Vision Fourier Transformer)---a machine learning-based aberration sensing framework built around a 3D multistage Vision Transformer that operates on Fourier domain embeddings. AOViFT infers aberrations and restores diffraction-limited performance in puncta-labeled specimens with substantially reduced computational cost, training time, and memory footprint compared to conventional architectures or real-space networks. We validated AOViFT on live gene-edited zebrafish embryos, demonstrating its ability to correct spatially varying aberrations using either a deformable mirror or post-acquisition deconvolution. By eliminating the need for the guide star and wavefront sensing hardware and simplifying the experimental workflow, AOViFT lowers technical barriers for high-resolution volumetric microscopy across diverse biological samples.

}, doi = {10.21203/rs.3.rs-6273247/v1}, url = {https://doi.org/10.21203/rs.3.rs-6273247/v1}, author = {Thayer Alshaabi and Daniel Milkie and Gaoxiang Liu and Cyna Shirazinejad and Jason Hong and Kemal Achour and Frederik G{\"o}rlitz and Ana Milunovic-Jevtic and Cat Simmons and Ibrahim Abuzahriyeh and Erin Hong and Samara Williams and Nathanael Harrison and Evan Huang and Eun Bae and Alison Killilea and David Drubin and Ian Swinburne and Srigokul Upadhyayula and Eric Betzig} } @article {69142, title = {Image processing tools for petabyte-scale light sheet microscopy data.}, journal = {Nat. Methods}, year = {2024}, month = {2024 Oct 17}, abstract = {

Light sheet microscopy is a powerful technique for high-speed three-dimensional imaging of subcellular dynamics and large biological specimens. However, it often generates datasets ranging from hundreds of gigabytes to petabytes in size for a single experiment. Conventional computational tools process such images far slower than the time to acquire them and often fail outright due to memory limitations. To address these challenges, we present PetaKit5D, a scalable software solution for efficient petabyte-scale light sheet image processing. This software incorporates a suite of commonly used processing tools that are optimized for memory and performance. Notable advancements include rapid image readers and writers, fast and memory-efficient geometric transformations, high-performance Richardson-Lucy deconvolution and scalable Zarr-based stitching. These features outperform state-of-the-art methods by over one order of magnitude, enabling the processing of petabyte-scale image data at the full teravoxel rates of modern imaging cameras. The software opens new avenues for biological discoveries through large-scale imaging experiments.

}, doi = {10.1038/s41592-024-02475-4}, url = {https://doi.org/10.1038/s41592-024-02475-4}, author = {Xiongtao Ruan and Matthew Mueller and Gaoxiang Liu and Frederik G{\"o}rlitz and Tian-Ming Fu and Daniel E. Milkie and Joshua Lillvis and Alison Killilea and Eric Betzig and Srigokul Upadhyayula} } @article {68257, title = {Characterization, Comparison, and Optimization of Lattice Light Sheets}, journal = {Science Advances}, year = {2023}, month = {2023 Mar 31}, abstract = {

Lattice light sheet microscopy excels at the non-invasive imaging of three-dimensional (3D) dynamic processes at high spatiotemporal resolution within cells and developing embryos. Recently, several papers have called into question the performance of lattice light sheets relative to the Gaussian sheets most common in light sheet microscopy. Here we undertake a comprehensive theoretical and experimental analysis of various forms of light sheet microscopy which both demonstrates and explains why lattice light sheets provide significant improvements in resolution and photobleaching reduction. The analysis provides a procedure to select the correct light sheet for a desired experiment and specifies the processing that maximizes the use of all fluorescence generated within the light sheet excitation envelope for optimal resolution while minimizing image artifacts and photodamage. Development of a new type of {\textquotedblleft}harmonic balanced{\textquotedblright} lattice light sheet is shown to improve performance at all spatial frequencies within its 3D resolution limits and maintains this performance over lengthened propagation distances allowing for expanded fields of view.

}, doi = {10.1126/sciadv.ade6623}, url = {https://doi.org/10.1126/sciadv.ade6623}, author = {Gaoxiang Liu and Xiongtao Ruan and Daniel E. Milkie and Frederik G{\"o}rlitz and Matthew Mueller and Wilmene Hercule and Alison Kililea and Eric Betzig and Srigokul Upadhyayula} } @article {67810, title = {A serotonergic axon-cilium synapse drives nuclear signaling to maintain chromatin accessibility}, journal = {Cell}, volume = {185}, year = {2022}, month = {2022 Sep 01}, pages = {3390-3407}, abstract = {

Chemical synapses between axons and dendrites mediate much of the brain{\textquoteright}s intercellular communication. Here we describe a new kind of synapse {\textendash} the axo-ciliary synapse - between axons and primary cilia. By employing enhanced focused ion beam {\textendash} scanning electron microscopy on samples with optimally preserved ultrastructure, we discovered synapses between the serotonergic axons arising from the brainstem, and the primary cilia of hippocampal CA1 pyramidal neurons. Functionally, these cilia are enriched in a ciliary-restricted serotonin receptor, 5-hydroxytryptamine receptor 6 (HTR6), whose mutation is associated with learning and memory defects. Using a newly developed cilia-targeted serotonin sensor, we show that optogenetic stimulation of serotonergic axons results in serotonin release onto cilia. Ciliary HTR6 stimulation activates a non-canonical Gαq/11-RhoA pathway. Ablation of this pathway results in nuclear actin and chromatin accessibility changes in CA1 pyramidal neurons. Axo-ciliary synapses serve as a distinct mechanism for neuromodulators to program neuron transcription through privileged access to the nuclear compartment.

}, doi = {10.1016/j.cell.2022.07.026}, author = {Shu-Hsien Sheu and Srigokul Upadhyayula and Vincent Dupuy and Song Pang and Andrew L. Lemire and Deepika Walpita and H. Amalia Pasolli and Fei Deng and Jinxia Wan and Lihua Wang and Justin Houser and Silvia Sanchez-Martinez and Sebastian E. Brauchi and Sambashiva Banala and Melanie Freeman and C. Shan Xu and Tom Kirchhausen and Harald F. Hess and Luke Lavis and Yu-Long Li and S{\'e}verine Chaumont-Dubel and David E. Clapham} } @article {64995, title = {Lamellar junctions in the endolymphatic sac act as a relief valve to regulate inner ear pressure.}, journal = {eLife}, year = {2018}, month = {2018 Jun 19}, doi = {10.7554/eLife.37131}, author = {Ian A. Swinburne and Kishore R. Mosaliganti and Srigokul Upadhyayula and Tsung-Li Liu and David G. C. Hildebrand and Tony Y.-C. Tsai and Anzhi Chen and Ebaa Al-Obeidi and Anna K. Fass and Samir Malhotra and Florian Engert and Jeff W. Lichtman and Tom Kirchhausen and Sean G. Megason and Eric Betzig} }